Naila Allahverdiyeva
@bhos.edu.az
Process Automation Engineering Department
Baku Higher Oil School
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Information Systems, Control and Systems Engineering, Signal Processing
6
Scopus Publications
23
Scholar Citations
2
Scholar h-index
1
Scholar i10-index
Scopus Publications
- Application of Correlation Analysis in Weak Signal Detection
Naila Allakhverdiyeva
Elsevier BV - Application of neural network for digital recursive filter design
Naila Allakhverdiyeva
IEEE
Digital Signal Processing is an advanced technology that will determine the direction of science and technology in the next centuries. One of the main direction of digital signals processing is digital filters, which in the most cases have advantages over analog filters. Currently there are various methods of filter analysis and design. In this work, for synthesis of all types of recursive filters (low pass, high pass, bandwidth, band stop) is used a neural network. The main objective of filter synthesis is to find the filter coefficients. These filter coefficients define the filter transfer function. Using an iterative procedure of the neural network such as Backpropagation algorithm, on base of Visual C++ software was developed the program, which designs recursive filters with required characteristics. This is particularly important for the designing of the new correcting filters characteristics, the purpose of which is to reduce the unwanted noises in the measurement signal. - Development 'Filtration' software for the digital processing of the measuring signals
Naila Allakhverdiyeva
IEEE
The paper covers “Filtration” software developed by author. “Filtration” software allows the design of low-pass filters up to an 8th order filter with Chebychev, Bessel, Elliptic, Hamming, Kaiser, RMS or Butterworth responses from frequencies of 0.1 Hz to 1 MHz. “Filtration” software also can be used to design band-pass and high-pass filters with Chebychev, Bessel, Elliptic, Hamming, Kaiser, RMS or Butterworth responses. Options (specify order of filter, enter the value of signal to noise ratio) are available. Once the filter response has been identified, “Filtration” software generates the frequency response and the parameters of design filter. Software also will recalculate all values to meet the desired response, allowing real values to be substituted or changed as part of the design process. “Filtration” software allows to filtered noise on the base of the data, which corresponds to some measured signal, and to choose the desired type of digital filter, which eliminated unnecessary frequencies (noises) from input signal the best way. Software package was created by using Visual C++ environment. - Preprocessing of experimental seismic data
Naila Allakhverdiyeva
IEEE
In this work two methods of seismic data preprocessing for cleaning them from the noise are discussed. The first method is based on the method of decomposition of seismic signal. The second method is based on the spectral analysis with the use of low-pass filtering of data. - Using corrective filters to improve the accuracy of seismic data
Naila Allakhverdiyeva
IEEE
In paper the question of increase of accuracy of seismic data processing by use of low-frequency and band-pass filters is considered. Thus the purpose of a filtration is decomposition of noisy seismic signal. For management of process of decomposition the operational information on spectral structure of signals is used. - Solution of inverse problem of measurements for correcting filters synthesis
Ramiz Gumbatov and Naila Allakhverdiyeva
IEEE
In the paper the statement of inverse problem of dynamic measurements of physical quantities is given and the technique of robust correcting filters synthesis for reproduction of fixed component of the useful measuring signal reshaped on an output of a dynamic system «object plus sensor» and followed with white and colour noise is designed.
RECENT SCHOLAR PUBLICATIONS
- Using convolutional filter for restoration of distorted image
N Allahverdiyeva
Journal of Engineering Sciences and Modern Technologies 1 (1) 2025 - EEG-based Mouse Cursor Control.
N Allahverdiyeva, A Fataliyev
Technium 15 2023 - Preprocessing of Seismic Data using Neural Networks
NR Allahverdiyeva
2022 8th International Conference on Control, Decision and Information 2022 - AI-Based Processing of Seismic Signals During Oil Exploration
N Allahverdiyeva
2021 - Application of correlation analysis in weak signal detection
N Allakhverdiyeva
IFAC-PapersOnLine 51 (30), 473-476 2018 - Application of neural network for digital recursive filter design
N Allakhverdiyeva
2016 IEEE 10th International Conference on Application of Information and 2016 - Development “Filtration” software for the digital processing of the measuring signals
N Allakhverdiyeva
2015 9th International Conference on Application of Information and 2015 - Preprocessing of experimental seismic data
N Allakhverdiyeva
2014 IEEE 8th International Conference on Application of Information and 2014 - Разработка метода повышения точности измерительного канала
Н Аллахвердиева
Информационно-управляющие системы, 9 2014 - Using corrective filters to improve the accuracy of seismic data
N Allakhverdiyeva
2012 IV International Conference" Problems of Cybernetics and Informatics 2012 - Эффективный способ повышения точности результатов цифровых динамических измерений
Н Аллахвердиева
Azərbaycan Ali texniki məktəblərinin xəbərləri, 5 2012 - Оптимальные алгоритмы преобразования измерительной информации, полученной при диагностике нефтяных скважин
Н Аллахвердиева
Материалы Международной научно-практической конференции Cовременные 2011 - Siqnalların rəqəmli emalı
N Allahverdiyeva
Bakı: Elm və təhsil, 2010, 144 s. 2010 - Повышение точности преобразования и цифровой обработки электрических сигналов
Н Аллахвердиева, А Мехтиева
Информационно-измерительные и управляющие системы 8 (№09), 6 2010 - Algorithms of transformation and processing experimental data while oil-well drilling
NR Allakhverdiyeva, AM Mehtiyeva
Problems of Oil and Gas Industry: Collection of Science Articles., 7 2010 - Solution of inverse problem of measurements for correcting filters synthesis
R Gumbatov, N Allakhverdiyeva
2009 Fifth International Conference on Soft Computing, Computing with Words 2009 - Analysis of filtering properties of data-hold devices
N Allakhverdiyeva, M Almaz
Nauka i studia 5 (N5(17), Mahematics), 4 2009 - Принципы построения робастных фильтров Кальмана
Н Аллахвердиева
Azərbaycan Ali texniki məktəblərinin xəbərləri 5 (№5 (57)), 5 2008 - Обобщенный подход к синтезу корректирующих фильтров для решения обратной задачи измерений
Н Аллахвердиева
Azərbaycan Milli Elmlər Akademiyasının Xəbərləri, Fizika-texnika və 2008 - Qeyri-sinusoidal siqnalların rəqəmli lmələri zamanı diskret ortalaşdırmanın təshihedici xassələri
I Abdullayev, N Allahverdiyeva
Azərbaycan Milli Elmlər Akademiyasının Xəbərləri, Fizika-texnika və 2008
MOST CITED SCHOLAR PUBLICATIONS
- Application of neural network for digital recursive filter design
N Allakhverdiyeva
2016 IEEE 10th International Conference on Application of Information and 2016
Citations: 17 - Application of correlation analysis in weak signal detection
N Allakhverdiyeva
IFAC-PapersOnLine 51 (30), 473-476 2018
Citations: 3 - Preprocessing of experimental seismic data
N Allakhverdiyeva
2014 IEEE 8th International Conference on Application of Information and 2014
Citations: 1 - Using corrective filters to improve the accuracy of seismic data
N Allakhverdiyeva
2012 IV International Conference" Problems of Cybernetics and Informatics 2012
Citations: 1 - Повышение точности преобразования и цифровой обработки электрических сигналов
Н Аллахвердиева, А Мехтиева
Информационно-измерительные и управляющие системы 8 (№09), 6 2010
Citations: 1